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CVPR
2007
IEEE
16 years 9 months ago
On-line Simultaneous Learning and Tracking of Visual Feature Graphs
Model learning and tracking are two important topics in computer vision. While there are many applications where one of them is used to support the other, there are currently only...
Arnaud Declercq, Justus H. Piater
DATE
2007
IEEE
167views Hardware» more  DATE 2007»
16 years 1 months ago
A decomposition-based constraint optimization approach for statically scheduling task graphs with communication delays to multip
We present a decomposition strategy to speed up constraint optimization for a representative multiprocessor scheduling problem. In the manner of Benders decomposition, our techniq...
Nadathur Satish, Kaushik Ravindran, Kurt Keutzer
186
Voted
ICCS
2007
Springer
16 years 1 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
204
Voted
IROS
2006
IEEE
123views Robotics» more  IROS 2006»
16 years 27 days ago
Robot Navigation based on the Mapping of Coarse Qualitative Route Descriptions to Route Graphs
— This paper describes the use of natural language route descriptions in the mobile robot navigation domain. Guided by corpus analysis and earlier work on coarse qualitative rout...
Christian Mandel, Udo Frese, Thomas Röfer
222
Voted
IEAAIE
2005
Springer
16 years 11 days ago
Analyzing Multi-level Spatial Association Rules Through a Graph-Based Visualization
Association rules discovery is a fundamental task in spatial data mining where data are naturally described at multiple levels of granularity. ARES is a spatial data mining system ...
Annalisa Appice, Paolo Buono